Titlebook: Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty; Roman Slowinski,Jacques Teghem Book 1990

小鹿

FAZE

放肆的我

陳舊

Computation of Efficient Solutions of Stochastic Optimization Problems with Applications to Regressinalty costs to the deviation between the output A(.)x and the target b(.). For finding in this situation solutions “hedging against uncertainty” a set of so-called efficient points of (1) is defined and a numerical procedure for determining these compromise solutions is derived. Several applications

宣誓書

Interactive Decision Making for Multiobjective Programming Problems with Fuzzy Parametersr with the trade-off rates among the values of the membership functions and the degree .. Then by considering the current values of the membership functions and . as well as the trade-off rates, the DM responds by updating his/her reference membership values and/or the degree .. In this way the (loc

hankering

indoctrinate

Arthritis

食料

Roman Slowinski,Jacques Teghem techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired a978-3-642-43859-2978-3-642-33021-6Series ISSN 1860-949X Series E-ISSN 1860-9503

教育學